Abstract
Prior collaborative filtering (CF) methods based on neighbors’ ratings to predict a target user’s rating. In this work, we consider recommendation on the context of Social TV (STV). The watchers/users may either share, comment, rate, or tag videos they are interested in. Each video must be watched and rated by many users. For these assumptions, we proposed a novel model-based collaborative filtering using a fuzzy neural network to learn user’s social web behaviors for video recommendation on STV. We use netflix data-set to evaluate the proposed method. The result shown that the proposed approach is a significant effective method.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aroyo, L., Nixon, L., Dietze, S.: Television and the future internet: the No-Tube project. In: Future Internet Symposium (FIS) 2009, Berlin, Germany, September 1-3 (2009)
Nguyen, S.D., Ngo, K.N.: An Adaptive Input Data Space Parting Solution to the Synthesis of Neuro-Fuzzy Models. International Journal of Control, Automation, and Systems, IJCAS 6(6), 928–938 (2008)
Nguyen, S.D., Choi, S.B.: A new Neuro-Fuzzy Training Algorithm for Identifying Dynamic Characteristics of Smart Dampers. Smart Materials and Structures 21 (2012)
Pazzani, M.J., Billsus, D.: Content-based recommendation systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 325–341. Springer, Heidelberg (2007)
Resnick, P., Iacovou, N., Suchack, M., Bergstrom, P., Riedl, J.T.: GroupLens: an open architecture for collaborative filtering of netnews. In: Proceedings of the ACM Conference on Computer Supported Cooperative Work, pp. 175–186 (1994)
Breese, J.S., Heckerman, D., Kadie, C.: Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, pp. 43–52 (1999)
Goldberg, K., Roeder, T., Gupta, D., Perkins, C.: Eigentaste: a constant time collaborative filtering algorithm. Information Retrieval 4(2), 133–151 (2001)
Smeaton, A.F., Over, P., Kraaij, W.: Evaluation campaigns and TRECVid. In: Proc. of the ACM MIR, pp. 321–330 (2006)
Barragáns-Martínez, A.B., Costa-Montenegro, E., Burguillo-Rial, J.C., Rey-López, M., Mikic-Fonte, F.A., Peleteiro-Ramallo, A.: A hybrid content-based and item-based collaborative filtering approach to recommend TV programs enhanced with singular value decomposition. Presented at Inf. Sci., 4290–4311 (2010)
Li, Q., Wang, J., Chen, Y.P., Lin, Z.: User comments for news recommendation in forum-based social media. Presented at Inf. Sci., 4929–4939 (2010)
Baeza-Yates, R., Ribeiro-Neto, B.: Modern information retrieval. Addison Wesley Longman Publisher (1999)
Brin, S., Motwani, R., Page, L., Winograd, T.: What can you do with a Web in your pocket. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 37–47 (1998)
Del Corso, G.M., Gullí, A., Romani, F.: Ranking a stream of news. In: Proceedings of the 14th International Conference on World Wide Web (WWW), pp. 97–106 (2005)
Lavrenko, V., Schmill, M., Lawrie, D., Ogilvie, P., Jensen, D., Allan, J.: Language models for financial news recommendation. In: Proceedings of the Ninth International Conference on Information and Knowledge Management (CIKM), pp. 389–396 (2000)
Ardissono, L., Gena, C., Torasso, P., Bellifemine, F., Difino, A., Negro, B.: User modeling and recommendation techniques for personalized electronic program guides. In: Personalized Digital Television-Targeting Programs to Individual Viewers. Human-Computer Interaction Series, vol. 6, ch. 1, pp. 3–26. Kluwer Academic Publishers (2004)
Baudisch, P., Brueckner, L.: TV scout: Lowering the entry barrier to personalized TV program recommendation. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds.) AH 2002. LNCS, vol. 2347, pp. 58–68. Springer, Heidelberg (2002)
Golub, G., Loan, C.V.: Matrix Computations, 3rd edn. Johns Hopkins Studies in Mathematical Sciences, Baltimore (1996)
Duong, T.H., Uddin, M.N., Li, D., Jo, G.S.: A Collaborative Ontology-Based User Profiles System. In: Nguyen, N.T., Kowalczyk, R., Chen, S.-M. (eds.) ICCCI 2009. LNCS, vol. 5796, pp. 540–552. Springer, Heidelberg (2009)
Netflix Prize: Forum/Dataset README file (Editor 2006), http://www.netflixprize.com/
Netflix, netflix dataset N. Prize, Editor 2011, lifecrunch.biz
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Nguyen, D.A., Duong, T.H. (2015). Video Recommendation Using Neuro-Fuzzy on Social TV Environment. In: Le Thi, H., Nguyen, N., Do, T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, vol 358. Springer, Cham. https://doi.org/10.1007/978-3-319-17996-4_26
Download citation
DOI: https://doi.org/10.1007/978-3-319-17996-4_26
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-17995-7
Online ISBN: 978-3-319-17996-4
eBook Packages: EngineeringEngineering (R0)